What I Learned Today

A collection of things I learn as I explore AI/ML, recommender systems, data engineering, and more. Each note captures a concept, technique, or insight from my daily studies.

Content Based Filtering

Building a recommender system that suggests items based on similar items’ attributes - the foundation of ‘items similar to this’ features.

Wednesday, the 28th of January, 2026

Item-Based Collaborative Filtering

Understanding item-based collaborative filtering: algorithm steps, implementation, and practical examples with cosine similarity

Tuesday, the 27th of January, 2026

User-Based Collaborative Filtering (Dummy Data)

Building a recommender system that suggests items based on similar users’ preferences - the foundation of ‘users who liked this also liked’ features.

Monday, the 26th of January, 2026